Ngrams of Social Science Disciplines

An “ngram” is an n-word phrase.  So, “human science” is a 2-gram.  If you’ve been living under a rock, you may not have heard about the latest gift from google – having scanned most published books in a number of major languages, they recently provided us the data, and a tool for easy visualization, of the relative popularity of words and phrases over time.  I thought I’d explore some terms of broad interest to sociologists with no particular idea about what I’d find.  Please take a look and help me interpret them.

Below you’ll find the relative frequency with which the major social scientific disciplines (plus psychology) are mentioned in books.  Let me explain the numbers on the Y-axis.  “psychology” is the most common word.  In 1950, it accounted for about 0.0034% of all words published.  In other words, google takes all the books published in a given year, and counts how many occurrences there are for each word.  Then it divides that number by the total number of words published.  There are many methodological considerations… for example, each book only counts once, regardless of how many copies are sold.

So what do we see?  Well, the rank order doesn’t really change over time.  Psychology gets the most mentions, then economics, sociology, anthropology and finally political science.  It’s tempting to interpret this as measuring the prominence of each discipline, but this isn’t a great test.  For starters, authors aren’t generally referring to the academic discipline when they use the word “psychology,” but they are when they use the phrase “political science.”  Sociology is probably between the two in terms of, “the share of word-mentions which actually refer to the academic discipline.”

I feel a bit more comfortable making inferences based on how each of these terms changes over time.  For example.  In in 1950, sociology received almost twice as many mentions as anthropology.  The situation was similar in 1980.  But in 1999, anthropology achieved parity with sociology, and they have been close to even in the decade since.  This appears to be evidence that anthropology gained prominence, relative to sociology, in the last half of the twentieth century.  Naturally, I don’t think we should put too much stock in this single measure of prominence.  We might want to look at trends in the number of students, and people working in each discipline.  We could count mentions in periodicals, citations to academic articles.  We could look to see how each word is used, and how much their usage changes over time.  Do these other measures corroborate, counter, or otherwise contextualize these trends?

I can’t give you easy access to all that data, but you can explore ngrams for yourself!

So readers, what do you see in this graph?  Care to nominate and discuss plausible/potentially useful and/or plainly dangerous assumptions that help us interpret these ngrams or lead us astray?

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3 Responses to Ngrams of Social Science Disciplines

  1. […] I have a few more thoughts about the graph of Ngrams of social science disciplines that I posted about last week. […]

  2. Rense says:

    Perhaps we should interpret the trends in these terms as the trends in “meta statements” about social science? I mean, the fact that sociology is less written *about* doesn’t necessarily mean that people *do* less sociology, right? To the contrary, high frequent occurrence of a term could also indicate a high level of controversy surrounding that term…or is that wishful thinking ;).

  3. Michael Bishop says:

    Hi Rense,

    As you point out, we are measuring 1) how often the word “sociology” is published.
    We are not measuring:
    2) How much research is going on in sociology?,
    3) How much people are learning about sociological topics.
    4) How much influence sociological research has on governments, organizations, or individuals.

    All else equal, I’d expect all these to be positively correlated… a fancy model might incorporate feedback loops… but I guess the first thing we’d like to do is come up with some proxies for 2, 3, and 4 and then make some simple graphs.

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